Weikang Zhang’s research while affiliated with Shanghai University of Finance and Economics and other places

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Publications (2)


Network graph of foreign value added from all sectors, 2000. Source WIOD 2016.
Network graph of foreign value added from all sectors, 2014. Source WIOD 2016. Note for Figs. 1 and 2: We draw the network graph of trade in intermediate inputs (Amador and Cabral, 2017). Each country is represented by a circle, with arrows pointing from the supplier to the receiver. The linkage is based on value-added trade, and a thicker line between two nodes implies a stronger linkage. From the receiver’s perspective, those cross-border value-added flows are the foreign value added. The size of each node is proportional to its degree. In general, a more important supplier of value-added tends to have bigger nodes and to locate in the center of the network.
Shares of various trade modes in selected Chinese provinces, December 2020. Source General Administration of Customs PRC.
Purchasing Managers’ Indexes on Imports in China, 2017.1–2021.11. Source National Bureau of Statistics of China.
Hubei province’s import values from Asian economies, 2019.1-2021.3. Source General Administration of Customs PRC.

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The COVID-19 pandemics and import demand elasticities: evidence from China’s customs data
  • Article
  • Full-text available

December 2023

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30 Reads

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1 Citation

Humanities and Social Sciences Communications

Weikang Zhang

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Isabel K. M. Yan

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Yin-Wong Cheung

We study China’s import demand elasticities using HS 8-digit customs data on China’s provincial imports during January 2019 to March 2021. It is found that both direct bilateral exchange rate elasticity and third-country exchange rate elasticity are affected by (1) policies that these Asian economies adopted to alleviate the adverse impacts of the COVID-19 pandemic and (2) the degree of concentration of exporters exporting a certain product to a certain Chinese provincial market. It is found that economic support policies will lower the bilateral exchange rate elasticity of trade flows, or even alter the sign of the bilateral exchange rate elasticity of China’s imports. Besides, the economic support policies can alleviate the pressure of foreign competition on exporters and make the exporters more resilient to the impacts of foreign competitors’ exchange rate depreciation. In contrast, the degree of market concentration of exporters in a certain provincial market affects the exchange rate and the third-country exchange rate elasticity differently. A higher market concentration lowers the bilateral exchange rate elasticity of trade flows but magnifies the impact of foreign competitors’ currency depreciation on exporters. These results are robust to alternative modes of trade, regional heterogeneity, product heterogeneity, various measures of policy responses to the pandemic, and alternative database.

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Foreign Financial Services Adoption in Manufacturing by Asian Economies: New Index from the Global Value Chain Perspective

April 2022

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16 Reads

Journal of International Commerce Economics and Policy

In this paper, we employ the input–output framework and recent global value chain (GVC) results to construct the index of foreign financial services adoption in manufacturing (FFSAM) that captures the role of foreign financial services in facilitating domestic manufacturing production. The FFSAM index shows that foreign financial services adoption by Asian economies has rapidly caught up with the Western world between 2007 and 2017. Asian economies tend to deploy more foreign financial services from high-income economies than low-income economies, and in high-technology manufacturing industries than low-technology manufacturing industries. Manufacturing industries that produce for domestic consumption and for exports tend to attract different groups of financial servicification providers. It is found that the FFSAM index is affected by the GVC position, financial institution factors, and financial market characteristics.